Quickstart
Last updated
Last updated
The first step is to for your data. AnnDB provides multiple dataset types which provide out-of-the-box solutions for image similarity search, text semantic search, question answering, or raw approximate nearest neighbours search in case you want to use your own vector embeddings.
This example application shows, how easy it is to build an image similarity search service with AnnDB in just a few lines of code.
Next, you will need to to authenticate your client application with the AnnDB API. You can either a universal API key for all datasets, or you can create a dataset-specific API key to limit the access scope.
AnnDB provides client implementations in the following languages: , . Clients allow you to modify and search the data stored in your datasets.